Data Analytics intern

Codingsthan Technologies

Jaipur, Rajasthan, IndiaFresher4h agovia LinkedIn

This job at a glance

Who can apply
Freshers and up to 1 year
Must know
Data analysisPythonSQLExcel
Nice to have
Statistics
Work
On-site in Jaipur · internship
Pay
Not stated by the employer.
Skill demand
Data analysis82%Excel70%SQL67%Python55%of 99 similar fresher jobs posted in India this week
Listed
11 Nov 2026 · still open

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About the Role

The Data Analytics Intern role at Codingsthan Technologies is a full-time, on-site position based in Jaipur. The internship provides hands-on experience, mentorship from experienced professionals, and a pathway to grow in data and technology roles.

Key Responsibilities

  • Assist in collecting, cleaning, and organizing data from various sources.
  • Help prepare datasets for analysis.
  • Perform exploratory data analysis.
  • Support data modeling efforts.
  • Generate basic reports and visualizations to communicate insights.
  • Collaborate with senior analysts and project teams to understand business requirements.
  • Document findings and contribute to data-driven decision-making.
  • Learn and apply data management best practices.
  • Participate in team meetings and reviews.

Requirements & Tech Stack

  • Data Analytics and Data Analysis skills for interpreting and deriving insights from datasets.
  • Solid Analytical Skills to identify trends, patterns, and relationships in data.
  • Data Management skills to organize, maintain, and handle data securely and efficiently.
  • Foundational Data Modeling skills to support the design and structure of data for reporting and analysis.
  • Basic knowledge of statistics.
  • Familiarity with spreadsheets or data analysis tools (e.g., Excel, SQL, Python, or R) is beneficial.
  • Strong attention to detail.
  • Problem-solving ability.
  • Willingness to learn in a fast-paced environment.
  • Effective communication skills.
  • Ability to work collaboratively on-site with cross-functional teams in Jaipur.

Qualifications

  • Pursuing or having completed a degree in Computer Science, Data Science, Statistics, Engineering, or a related field is preferred.

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